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ArticleForecasting supply chain resilience performance using grey prediction

R. Rajesh2016

Article2016

Forecasting supply chain resilience performance using grey prediction

125 citations·0/0 files stored·Electronic Commerce Research and Applications

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Supply Chain Resilience and Risk Management Quality and Supply Management Grey System Theory Applications

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References

1984Case Study Research: Design and Methods 2012Business Intelligence and Analytics: From Big Data to Big Impact 1986Case study research: Design and methods 1982Control problems of grey systems 1989Introduction to Grey system theory 2014Big Data: New Tricks for Econometrics 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management 2014Firm's resilience to supply chain disruptions: Scale development and empirical examination

Cited by

2018On sustainability, resilience, and the sustainable–resilient supply networks 2021Entrepreneurial orientation and supply chain resilience of manufacturing SMEs in Yemen: the mediating effects of absorptive capacity and innovation 2021Contributions of Industry 4.0 to supply chain resilience 2024Review of metrics to assess resilience capacities and actions for supply chain resilience 2020Exploring Organizational Resilience Through Key Performance Indicators

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Year2016

Typearticle

Published2016-09-25

VenueElectronic Commerce Research and Applications

ISSN-L1567-4223

Languageen

Citations125

Files0 public / 0

ShelfSupply Chain Resilience and Risk Management

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doi10.1016/j.elerap.2016.09.006

openalex_workW2522085201

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2018

Supply chain resilience and key performance indicators: a systematic literature review

2023Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research

2019Impact of risk management culture on supply chain resilience: An empirical study from Indian manufacturing industry